Peephole LSTM
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- IDSIA
- Organisation type
- Academia
- Country
- Switzerland
- Published
- 26 July 2000
- Authors
- F.A. Gers; J. Schmidhuber
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Mathematics
- Task
- Periodic function approximation
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Parameters
- 0K
- Training data
- tokens
"In absence of the 3 peephole connections there are 14 adjustable weights"
See Table 2
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Citations
- 630
Sources
Where this record came from and when it was last checked.
- Reference
- Recurrent nets that time and count
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Peephole LSTM was published by IDSIA, in Switzerland, in July 2000. academia is the category the publisher falls under.
It works in Mathematics, and is recorded as doing periodic function approximation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Peephole LSTM — common questions
Is Peephole LSTM open source?
The licensing for Peephole LSTM was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Peephole LSTM have?
Peephole LSTM has 0K parameters. "In absence of the 3 peephole connections there are 14 adjustable weights". That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created Peephole LSTM?
Peephole LSTM was published by IDSIA, based in Switzerland, categorised as academia.
When was Peephole LSTM released?
Peephole LSTM was published in July 2000. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is Peephole LSTM used for?
Peephole LSTM works in Mathematics, and is recorded as handling periodic function approximation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Peephole LSTM?
None. Peephole LSTM is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.